Passionfruit review
Shortlist-ready for AI Search Optimization, with the caveats below.
An AI-native SEO agency whose published research is unusually honest about AI-search measurement - 60-100+ runs per prompt, 40-60% monthly citation churn, no proven citation-to-revenue link - while its own homepage and case studies advertise AI-revenue percentages with none of that method attached, and no price is published anywhere.
No published price we can link to. We do not estimate one — ask on the call, and see the pricing-transparency line in the scores below.
How it scored
Every dimension is scored against this discipline’s published rubric. Open one to see the claim it was scored on, what the rubric measures there and how much it weighs, and where the evidence came from.
How we scored this
We read the agency’s public record first-hand — its site, pricing, case studies and independent reviews — and score what is checkable: what is published, not how it is phrased. There is no keyword counting or sentiment scoring. The label is a judgment on those facts, which is why each dimension shows the fact that decided it, the band it was judged against, and the sources — so you can check the call, and tell us if you think it is wrong. The full method, and who pays, is on how we vet.
Method specificity and technical substanceStrong
Strong — 4 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 25% of the total score.
Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 8 · Adequate 7 · Weak 1. The typical agency here scores Strong, and none scores higher than this one.
What this dimension measures: What the firm actually does, described concretely enough to evaluate: content restructuring for extractability, entity and knowledge-graph work, schema, source and citation-footprint building, presence on the corpora assistants actually draw from, llms.txt and crawler access. Be sceptical of anything indistinguishable from ordinary SEO sold at a premium under a new name: if the described method is only 'good content and schema', say so plainly in the verdict rather than crediting the label.
Scores high — Named, specific techniques tied to how retrieval works score 4-5.
Scores low — 'We optimise for AI' with no described mechanism scores 1-2.
What we found — Named, retrieval-specific techniques rather than 'we optimise for AI'. The crawler post names the exact retrieval user agents to allow (OAI-SearchBot, Claude-SearchBot, PerplexityBot, ChatGPT-User, Claude-User, Perplexity-User), separates retrieval bots from training crawlers as a distinct decision, and tells readers to filter server logs on those tokens and check for 403/429 responses and to verify bot identity against the crawler IP JSON files OpenAI, Anthropic and Perplexity publish. The citation-source post describes building a citation footprint by classifying cited URLs into brand-owned, earned media, community, reference and video. The Visily case study describes 40-50 word definitions placed immediately after the H1 'formatted for extraction' plus JSON-LD, speakable and SoftwareApplication schema. Capped below Excellent: llms.txt, entity resolution and knowledge-graph work are absent from what is published, and a large share of the delivered work described in case studies is ordinary technical and content SEO (canonicalization of 18 brand-name variants, content architecture, Lighthouse 96/100, 73% JavaScript execution reduction) rather than anything specific to generative retrieval. That is the high band above, which is why it scored Strong.
On the record — “Concrete crawler-access method is published, naming the retrieval user agents to allow (OAI-SearchBot, Claude-SearchBot, PerplexityBot, ChatGPT-User, Claude-User, Perplexity-User), separating them from training crawlers, and directing verification via server-log user-agent filtering, 403/429 checks and the crawler IP range files published by OpenAI, Anthropic and Perplexity.” getpassionfruit.com ↗
Evidence: partly checkable — corroborated in part against the sources below; the remainder rests on the agency’s own account.
Measurement honestyExcellent
Excellent — 5 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 20% of the total score.
Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 6 · Adequate 9 · Weak 1. The typical agency here scores Adequate, and none scores higher than this one.
What this dimension measures: How the firm proposes to prove anything, in a setting where outputs are non-deterministic and vary by user, session and region. Look for a described tracking approach with its limits acknowledged: prompt sets, sampling frequency, variance handling, and how a citation is attributed.
Scores high — A stated method that names non-determinism as a limit scores 4-5.
Scores low — Vague 'we track your AI visibility' scores 2-3. A firm presenting single-prompt screenshots as measurement scores 1-2 — one answer on one day is an anecdote, and treating it as a metric is the characteristic error of this category.
What we found — The strongest thing on this site, and unusually explicit for the category. Their published research states that a single-run result is not a measurement: 'That #4 ranking your vendor reported was a snapshot of a single run of a single prompt on a single platform. It is not a position. It is not a trend.' It quantifies the non-determinism ('The odds of getting the same brand list twice from ChatGPT? Less than 1 in 100'), sets a sampling floor ('visibility percentage (how often you appear across 60-100+ runs) is the only citation metric with statistical validity. If your vendor runs each prompt fewer than 60 times before reporting, the data is not meaningful'), and states the attribution limit plainly: 'No study has yet demonstrated a reliable causal link between citation metrics and revenue or pipeline outcomes.' The citation-source post specifies a working prompt set of 20-40 prompts across recommendation, comparison and evaluation intents, warns that 'fewer than 15 prompts tend to surface noise rather than signal', prescribes weekly runs for at least three weeks before drawing conclusions, and gives a decay figure of 40-60% source rotation month over month. This is a stated method that names non-determinism as a limit rather than hiding it. That is the high band above, which is why it scored Excellent.
On the record — “Published research sets an explicit statistical floor for AI visibility measurement: 'visibility percentage (how often you appear across 60-100+ runs) is the only citation metric with statistical validity. If your vendor runs each prompt fewer than 60 times before reporting, the data is not meaningful.'” getpassionfruit.com ↗
On the record — “The same research states plainly that the outcome link is unproven: 'No study has yet demonstrated a reliable causal link between citation metrics and revenue or pipeline outcomes.'” getpassionfruit.com ↗
attribution — working out which marketing touch actually caused a sale. Good practice names its model and its blind spots; bad practice quotes each ad platform’s self-graded numbers, which overlap and overclaim.
pipeline — the dollar value of open, qualified deals sales is working. “Pipeline created” ties marketing to money, where lead counts don’t.
Evidence: verified — checked against a named source you can open; the links under Sources below are where to check it yourself.
Claim disciplineAdequate
Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 20% of the total score.
Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 5 · Adequate 7 · Weak 4. The typical agency here scores Adequate, and 5 of them score higher than this one.
What this dimension measures: Weighted unusually high because this category's defining risk is overclaim, not opacity. No vendor controls what an assistant says. Also flag results claims presented without the prompt set or timeframe that produced them, and any implication that the firm has privileged access to a model's ranking.
Scores high — A firm that states plainly what it cannot guarantee scores 4-5.
Scores low — Guaranteed rankings, guaranteed citations, guaranteed 'first result in ChatGPT', or claimed partnerships with model providers score 1-2 and must be named in red_flags.
What we found — No guarantee language was found on any page read: no guaranteed rankings, no guaranteed citations, no 'first result in ChatGPT', and no claimed partnership with any model provider (ChatGPT, Perplexity, Claude, Gemini, AI Overviews and Copilot are described as channels they optimise into, not relationships they hold). That clears the category's worst failure modes. Held to Adequate because the marketing surface does not follow the standard their own research sets. The homepage advertises '750% AI visibility growth' and '10.5M AI Search Traffic', and the case-study index carries '+5,237% AI Revenue (YoY)', '59x AI Revenue (YoY)' and '+23% AI Revenue in 30 Days' with no prompt set, no attribution method, no tool named and no baseline - precisely the presentation their own research calls not meaningful. Separately, they publish a '10 Best Ecommerce SEO Agencies 2026' ranking on their own domain that places Passionfruit at #1 and states in its FAQ that 'Passionfruit ranks as the top ecommerce SEO agency for 2026', without disclosing at the outset that the publisher is the top-ranked entry. That is between the two bands, which is why it scored Adequate.
On the record — “No guaranteed ranking, guaranteed citation, or claimed partnership with a model provider appears on any page read. Model surfaces (ChatGPT, Perplexity, Claude, Gemini, AI Overviews, Copilot) are described only as channels optimised into.” getpassionfruit.com ↗
On the record — “The firm publishes a '10 Best Ecommerce SEO Agencies 2026' ranking on its own domain in which it ranks itself #1, with an FAQ stating 'Passionfruit ranks as the top ecommerce SEO agency for 2026', without disclosing the conflict at the outset.” getpassionfruit.com ↗
attribution — working out which marketing touch actually caused a sale. Good practice names its model and its blind spots; bad practice quotes each ad platform’s self-graded numbers, which overlap and overclaim.
Evidence: verified — checked against a named source you can open; the links under Sources below are where to check it yourself.
Evidence of work and named clientsStrong
Strong — 4 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 15% of the total score.
Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 9 · Adequate 7. The typical agency here scores Strong, and none scores higher than this one.
What this dimension measures: Attributable client work. Be lenient on volume and strict on attribution: this category is young enough that a short roster is expected, but a long roster of unnamed logos is not evidence. Where a firm's OWN brand is demonstrably visible in AI answers, note it as a real if partial signal — it is at least a claim about themselves they cannot make privately.
Scores low — Named clients with described engagements score 4-5; anonymised or absent scores 2-3.
What we found — Real named attribution, read first-hand. The homepage names Visily, Necesera, Camb AI, Vitality, EUME, Typsy Beauty and Powersutra, and named case studies exist at their own URLs with described engagements and dated windows: 'How Visily Grew 2M+ Impressions and 146 SERP rankings from Scratch' (approx. April/May 2025 to October 2025, 28,440 keywords ranked, 261 People Also Ask boxes, 47 AI Overview positions) and 'NeceSera's Journey to 3x Clicks and 4.14M Impressions In 6 Months' (April 2024 to May 2025, clicks 14,800 to 60,500, impressions 1.13M to 4.36M, average position 17.0 to 14.5). Capped at Strong: the /case-studies index itself is mostly anonymised by vertical ('Kitchen Appliances Brand', 'Luxury Womenswear', 'Cybersecurity Platform'), the testimonials page carried no attributable name, role and company in the content returned, and none of the engagements could be corroborated away from the vendor's own site.
On the record — “Named client case studies with dated windows and before/after figures are published, including Visily (approx. April/May 2025 to October 2025; 2M+ impressions, 146 SERP feature rankings, 28,440 keywords) and NeceSera (April 2024 to May 2025; clicks 14,800 to 60,500, impressions 1.13M to 4.36M, average position 17.0 to 14.5).” getpassionfruit.com ↗
attribution — working out which marketing touch actually caused a sale. Good practice names its model and its blind spots; bad practice quotes each ad platform’s self-graded numbers, which overlap and overclaim.
Evidence: partly checkable — corroborated in part against the sources below; the remainder rests on the agency’s own account.
Scope and pricing transparencyWeak
Weak — 2 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 10% of the total score.
Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 3 · Strong 4 · Adequate 3 · Weak 6. The typical agency here scores Adequate, and 10 of them score higher than this one.
What this dimension measures: Note contract length: long lock-ins are hard to justify in a category this young, where nobody can evidence a twelve-month outcome yet, and a firm offering short or month-to-month terms should be credited for it.
Scores low — Published prices, ranges or defined packages score 4-5; ranges on request score 2-3; bespoke-only scores 1-2.
What we found — The /pricing page exists but publishes no number. It says 'Custom Pricing' and 'Tailored to your needs', and routes every buyer to an exploratory call and a personalised audit. No price, no range, no package tiers, no minimum term and no contract length are stated anywhere read, so a buyer cannot tell what an engagement costs or how long they would be committed - a particular problem in a category where nobody can yet evidence a twelve-month outcome. Kept above Poor only because a defined pre-sale process is published and they state they may recommend against their full services where these are unnecessary.
On the record — “No price, range, package tier or contract length is published. The pricing page states only 'Custom Pricing' and 'Tailored to your needs', routing all buyers to an exploratory call and a personalised audit.” getpassionfruit.com ↗
Evidence: verified — checked against a named source you can open; the links under Sources below are where to check it yourself.
Stronger here: Cubitrek scores Excellent on the same dimension.
Durability and adaptationStrong
Strong — 4 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 5% of the total score.
Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 6 · Adequate 10. The typical agency here scores Adequate, and none scores higher than this one.
What this dimension measures: Whether the firm acknowledges that the surfaces move, and describes how it adapts: monitoring for model and interface changes, revisiting method, published research or original testing.
Scores high — Evidence of ongoing testing and updated method scores 4-5.
Scores low — A static playbook presented as settled practice scores 2, since nothing in this category has been stable long enough to be settled.
What we found — Genuine original testing rather than a static playbook. A research section carries eight pieces, including a first-hand study scoring roughly 350 top-10 ranking URLs across 35 SERPs spanning seven intent categories, using an eight-dimension 0-24 manual scale and explicitly rejecting classifiers: 'We did not use any detection tool. We scored what was visible in the text because classifiers are noisy.' They also track surface movement over time, citing ChatGPT's Reddit citation share falling from nearly 60% of responses in early August 2025 to around 10% by mid-September. Held below Excellent because individual research pieces carried no visible publication dates in the content returned, so how current the testing is cannot be confirmed, and the 350-page study states no limitations. That is the high band above, which is why it scored Strong.
On the record — “Original first-hand testing exists: roughly 350 top-10 ranking URLs scored across 35 SERPs on an eight-dimension 0-24 manual scale, with the authors stating 'We did not use any detection tool.'” getpassionfruit.com ↗
Evidence: partly checkable — corroborated in part against the sources below; the remainder rests on the agency’s own account.
References and review baseWeak
Weak — 2 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 5% of the total score.
Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 2 · Strong 6 · Adequate 6 · Weak 2. The typical agency here scores Strong, and 14 of them score higher than this one.
What this dimension measures: Independent, verified reviews. Low weight and low expectations: most firms here are under two years old, so an absent review base is a fact about the category's age rather than a finding about the vendor.
Scores low — A substantial verified base scores 4-5; a handful scores 2-3; none located scores 2.
What we found — No independent review base could be read first-hand. A G2 profile exists for 'Passionfruit Labs' (their tracking product, not the agency service), but g2.com returned HTTP 403 to direct retrieval, so no rating or count is cited here. The Clutch profile surfaced by search - 'Passionfruit Creative' - is a different company. Per the rubric this is a low-weight, low-expectation dimension and an absent readable base is largely a fact about the category's age.
Evidence: inferred — our reading of indirect evidence, not a documented fact.
Stronger here: Intero Digital scores Excellent on the same dimension.
Verdict
Passionfruit is a managed agency, not a tracking product, and it does belong in this category. It sells SEO, GEO and AEO as one engagement with in-house writers and delivery staff, and although it operates a tracking tool called Passionfruit Labs, its own comparison post states that Labs 'is not a self-serve tool you can buy off the shelf and run independently' - it is tied to the managed service. Founders Aditya Raj Jain and Rishabh Chatterjee are named on the about page, with Mike Maples Jr.
of Floodgate named as lead investor. No claimed partnership with OpenAI, Google, Perplexity or Anthropic appears anywhere on the site, and no guarantee of a ranking or a citation was found on any page read - both of which are worth saying explicitly, because they are the two failure modes that most often disqualify vendors in this category.
The method is more specific than the label. Where most firms in this space describe nothing beyond 'we optimise for AI', Passionfruit publishes the retrieval user agents to allow by name, distinguishes retrieval crawlers from training crawlers as a separate decision, tells readers to check server logs for 403 and 429 responses to those bots and to verify identity against the crawler IP files the model providers publish, classifies citation footprints into brand-owned, earned, community, reference and video, and describes writing 40-50 word definitions immediately after the H1 for extractability alongside JSON-LD and speakable schema. That said, the honest reading is that a substantial part of what they actually deliver, judged from their own case studies, is conventional technical and content SEO: canonicalizing eighteen brand-name variants, restructuring content architecture, a 96/100 Lighthouse score, a 73% reduction in JavaScript execution time.
Structured content and schema are good SEO practice and were before generative search existed. The genuinely GEO-specific part of the method is the crawler-access and citation-footprint work, which is real but narrower than the AI-native framing implies.
The measurement writing is the best thing here and is worth reading before hiring anyone in this category, including them. Their research states that a vendor-reported '#4 ranking' is 'a random sample of one from a distribution that changes with every query', that the odds of ChatGPT returning the same brand list twice are under 1 in 100, that visibility percentage across 60-100+ runs per prompt is the only citation metric with statistical validity, that 40-60% of cited domains rotate month over month, and - most unusually - that no study has yet shown a reliable causal link between citation metrics and revenue. A firm publishing the standard by which its own reporting should be judged is rare in a category barely two years old.
The tension a buyer should press on is that Passionfruit's own marketing does not meet that standard. The homepage headlines '750% AI visibility growth' and '10.5M AI Search Traffic'; the case-study index carries '+5,237% AI Revenue (YoY)', '59x AI Revenue (YoY)' and '+23% AI Revenue in 30 Days' with no prompt set, no attribution method, no tool named and no baseline - exactly the presentation their own research calls not meaningful. They also publish a 'best ecommerce SEO agencies' ranking on their own domain that puts themselves first without disclosing the conflict up front.
Beyond that, the gaps are ordinary but real: pricing is 'Custom Pricing, tailored to your needs' with no range, no package and no contract length published anywhere; most of the case-study library is anonymised by vertical even though named studies exist; and no independent review base could be read first-hand, since g2.com refused retrieval and the Clutch profile that surfaces under this name is a different company. What remains genuinely unknown is what an engagement costs, how long a buyer is committed, and whether the reporting a client actually receives applies the 60-run standard the firm publishes or the percentage headlines it advertises. That is the question to ask on the first call.
What you can do next
Koolav can make the introduction and handle the back-and-forth, or you can go straight to the agency.
This agency has not published a paid trial. What a paid trial is.
What we verified
Each claim below was checked against a named source, last on 2026-08-27. Follow any of them and check for yourself — that is the point of publishing them.
- The site returns a genuine HTTP 404 for a nonsense path, so it does not answer 200 to everything and page content can be trusted to match its URL. getpassionfruit.com ↗
- Published research sets an explicit statistical floor for AI visibility measurement: 'visibility percentage (how often you appear across 60-100+ runs) is the only citation metric with statistical validity. If your vendor runs each prompt fewer than 60 times before reporting, the data is not meaningful.' getpassionfruit.com ↗
- The same research states plainly that the outcome link is unproven: 'No study has yet demonstrated a reliable causal link between citation metrics and revenue or pipeline outcomes.' getpassionfruit.com ↗
- A defined prompt-set protocol is published: 20-40 prompts across recommendation, comparison and evaluation intents, run weekly for at least three weeks before drawing conclusions, with a stated 40-60% month-over-month rotation in cited sources. getpassionfruit.com ↗
- Concrete crawler-access method is published, naming the retrieval user agents to allow (OAI-SearchBot, Claude-SearchBot, PerplexityBot, ChatGPT-User, Claude-User, Perplexity-User), separating them from training crawlers, and directing verification via server-log user-agent filtering, 403/429 checks and the crawler IP range files published by OpenAI, Anthropic and Perplexity. getpassionfruit.com ↗
- Original first-hand testing exists: roughly 350 top-10 ranking URLs scored across 35 SERPs on an eight-dimension 0-24 manual scale, with the authors stating 'We did not use any detection tool.' getpassionfruit.com ↗
- Named client case studies with dated windows and before/after figures are published, including Visily (approx. April/May 2025 to October 2025; 2M+ impressions, 146 SERP feature rankings, 28,440 keywords) and NeceSera (April 2024 to May 2025; clicks 14,800 to 60,500, impressions 1.13M to 4.36M, average position 17.0 to 14.5). getpassionfruit.com ↗
- No price, range, package tier or contract length is published. The pricing page states only 'Custom Pricing' and 'Tailored to your needs', routing all buyers to an exploratory call and a personalised audit. getpassionfruit.com ↗
- AI-attributed results are advertised without any of the methodology the firm's own research requires: the case-study index lists '+5,237% AI Revenue (YoY)', '59x AI Revenue (YoY)' and '+23% AI Revenue in 30 Days' with no prompt set, attribution method, tool or baseline stated. getpassionfruit.com ↗
- The firm publishes a '10 Best Ecommerce SEO Agencies 2026' ranking on its own domain in which it ranks itself #1, with an FAQ stating 'Passionfruit ranks as the top ecommerce SEO agency for 2026', without disclosing the conflict at the outset. getpassionfruit.com ↗
- No guaranteed ranking, guaranteed citation, or claimed partnership with a model provider appears on any page read. Model surfaces (ChatGPT, Perplexity, Claude, Gemini, AI Overviews, Copilot) are described only as channels optimised into. getpassionfruit.com ↗
No independent reviews found
No independent review base could be read first-hand, so no rating or count is cited. A G2 profile exists for Passionfruit Labs - the tracking product rather than the agency service - but g2.com returned HTTP 403 to direct retrieval, so nothing from it is quoted here. The Clutch profile that surfaces under this name, Passionfruit Creative, is a different company (a sustainability marketing firm) and is not evidence about this vendor. Absence of a readable base is expected for a firm of this age and is not treated as a finding against them.
Not finding one is not a mark against the agency and does not move the score. It does mean there is no third-party record to set against ours — so this verdict rests on the rubric and the sources above, and nothing else.
Red flags
- AI-attributed results are advertised without the method that would make them meaningful: '+5,237% AI Revenue (YoY)', '59x AI Revenue (YoY)', '+23% AI Revenue in 30 Days' and a homepage '750% AI visibility growth', none carrying a prompt set, attribution method, tool or baseline. The firm's own published research calls this presentation not meaningful, so the inconsistency is with its own stated standard, not merely an outside one.
- The firm publishes a 'best ecommerce SEO agencies' ranking on its own domain ranking itself #1, with an FAQ asserting that placement as a finding, and without disclosing at the outset that the publisher is the top-ranked entry. Competing agencies in the same list are judged on proven results and case studies that Passionfruit does not supply for its own entry.
What we could not verify
- What does an engagement cost? No price, range or package tier is published anywhere on the site.
- What is the minimum contract length, and is there a month-to-month option? No term is stated, which matters in a category where no vendor can yet evidence a twelve-month outcome.
- Does the reporting a paying client actually receives apply the 60-100+ runs per prompt standard the firm publishes, or the unqualified percentage headlines it advertises? The two are inconsistent and the site does not resolve which one a client gets.
- How is 'AI Revenue' attributed? The metric appears throughout the case studies with no definition, tool or methodology, and the firm's own research says the citation-to-revenue link is unproven.
- What do independent clients say? No third-party review base could be read first-hand; the G2 profile refused retrieval and the Clutch profile under this name is a different company.
- Are the anonymised case studies ('Kitchen Appliances Brand', 'Luxury Womenswear', 'Cybersecurity Platform') separate clients from the named ones, or the same engagements presented twice? The index does not say.
- A second Visily case study URL (/case-studies/geo-case-study-visily, claiming 11x traffic via GEO in 2 months) returned content matching the other Visily study rather than its own, so that claim could not be read first-hand and is not scored here.
- Is entity, knowledge-graph or llms.txt work part of the engagement? These are absent from the published method despite being central to how retrieval selects sources.
Sources
- https://www.getpassionfruit.com
- https://www.getpassionfruit.com/this-page-cannot-possibly-exist-9f3k2
- https://www.getpassionfruit.com/pricing
- https://www.getpassionfruit.com/case-studies
- https://www.getpassionfruit.com/case-studies/how-visily-grew-2m-impressions-and-146-serp-rankings-from-scratch
- https://www.getpassionfruit.com/case-studies/necesera
- https://www.getpassionfruit.com/case-studies/geo-case-study-visily
- https://www.getpassionfruit.com/about-us
- https://www.getpassionfruit.com/research
- https://www.getpassionfruit.com/research/why-ai-citations-might-not-be-the-best-visibility-metric-to-track-for-ai-search
- https://www.getpassionfruit.com/research/does-ai-actually-reward-ai-content-human-expertise-matters
- https://www.getpassionfruit.com/blog
- https://www.getpassionfruit.com/blog/ai-citation-source-analysis
- https://www.getpassionfruit.com/blog/ai-crawlers-gptbot-claudebot-perplexitybot
- https://www.getpassionfruit.com/blog/seo-ai-tools-passionfruit-ahrefs-semrush
- https://www.getpassionfruit.com/blog/best-ecommerce-seo-agencies-2026-ai-native-partners-for-revenue-growth
- https://www.getpassionfruit.com/testimonials
- https://www.g2.com/products/passionfruit-labs/reviews
Others we evaluated in AI Search Optimization
Same rubric, same evaluator, same date range — so these are directly comparable to the verdict above.
See all 17 AI Search Optimization agencies we evaluated →
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